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SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records
It is important to easily and efficiently obtain high quality species distribution data for predicting the potential distribution of species using species distribution models (SDMs). There is a need for a powerful software tool to automatically or semi-automatically assist in identifying and correct...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452258/ https://www.ncbi.nlm.nih.gov/pubmed/26030926 http://dx.doi.org/10.1371/journal.pone.0128295 |
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author | Kong, Xiaoquan Huang, Minyi Duan, Renyan |
author_facet | Kong, Xiaoquan Huang, Minyi Duan, Renyan |
author_sort | Kong, Xiaoquan |
collection | PubMed |
description | It is important to easily and efficiently obtain high quality species distribution data for predicting the potential distribution of species using species distribution models (SDMs). There is a need for a powerful software tool to automatically or semi-automatically assist in identifying and correcting errors. Here, we use Python to develop a web-based software tool (SDMdata) to easily collect occurrence data from the Global Biodiversity Information Facility (GBIF) and check species names and the accuracy of coordinates (latitude and longitude). It is an open source software (GNU Affero General Public License/AGPL licensed) allowing anyone to access and manipulate the source code. SDMdata is available online free of charge from <http://www.sdmserialsoftware.org/sdmdata/>. |
format | Online Article Text |
id | pubmed-4452258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44522582015-06-09 SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records Kong, Xiaoquan Huang, Minyi Duan, Renyan PLoS One Research Article It is important to easily and efficiently obtain high quality species distribution data for predicting the potential distribution of species using species distribution models (SDMs). There is a need for a powerful software tool to automatically or semi-automatically assist in identifying and correcting errors. Here, we use Python to develop a web-based software tool (SDMdata) to easily collect occurrence data from the Global Biodiversity Information Facility (GBIF) and check species names and the accuracy of coordinates (latitude and longitude). It is an open source software (GNU Affero General Public License/AGPL licensed) allowing anyone to access and manipulate the source code. SDMdata is available online free of charge from <http://www.sdmserialsoftware.org/sdmdata/>. Public Library of Science 2015-06-01 /pmc/articles/PMC4452258/ /pubmed/26030926 http://dx.doi.org/10.1371/journal.pone.0128295 Text en © 2015 Kong et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kong, Xiaoquan Huang, Minyi Duan, Renyan SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records |
title | SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records |
title_full | SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records |
title_fullStr | SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records |
title_full_unstemmed | SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records |
title_short | SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records |
title_sort | sdmdata: a web-based software tool for collecting species occurrence records |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452258/ https://www.ncbi.nlm.nih.gov/pubmed/26030926 http://dx.doi.org/10.1371/journal.pone.0128295 |
work_keys_str_mv | AT kongxiaoquan sdmdataawebbasedsoftwaretoolforcollectingspeciesoccurrencerecords AT huangminyi sdmdataawebbasedsoftwaretoolforcollectingspeciesoccurrencerecords AT duanrenyan sdmdataawebbasedsoftwaretoolforcollectingspeciesoccurrencerecords |